344 results about "Anxiety" patented technology

Aiming at the problems of insufficient language understanding depth, weak personalized dialogue generation ability, lack of continuous learning and long-term user state modeling and the like in the current emotion recognition and psychological intervention technology, the invention provides a user emotion recognition and psychological intervention method combined with a large language model (LLM). According to the method, the potential emotional state is identified by analyzing free text information input by a user by utilizing the powerful capabilities of a large language model in the aspects of natural language understanding, emotional modeling and text generation; constructing a multi-round dialogue context, and reasoning a psychological change trend of the user; in combination with a psychological knowledge base, personalized and mild psychological intervention dialogue content with a dredging effect is generated. The system supports recognition and classification of various emotional states such as depression, anxiety and alonity, is suitable for various interaction scenes (such as APPs, webpages and social robots), and can greatly improve the precision of emotion recognition and the timeliness and effectiveness of psychological intervention. The emotion recognition and psychological intervention method based on the large language model provides solid technical support for constructing an intelligent, continuous and personalized psychological health management system, and has wide application prospects and profound social significance.

The invention discloses a multi-modal emotion calculation enabling adaptive interactive language learning system and a matching method thereof, and belongs to the technical field of artificial intelligence, and the system comprises a multi-modal emotion real-time perception and quantification module MHAE-Net, a personalized adaptive dialogue and intervention strategy module ADIS-RL, and a virtual dialogue partner interactive interface module EC-NLG. The multi-modal emotion real-time perception and quantification module MHAE-Net is composed of a voice signal acquisition and processing unit, a voice emotion analysis unit, a text emotion analysis unit, a facial expression emotion analysis unit, a physiological signal emotion analysis unit and a multi-modal emotion fusion and decision-making unit. The interactive strategy is dynamically adjusted, the oral anxiety of the language is effectively relieved, the oral confidence is improved, the system adopts the multi-mode emotion calculation technology, the accuracy and robustness of emotion recognition are improved, the targeted interactive strategy is designed for different emotion states, and personalized emotion support and language practice are provided for learners.

The invention provides a transcranial alternating current stimulation method and system with an automatic adjustment function, and relates to the technical field of transcranial alternating current stimulation, and the method comprises the steps: obtaining, compressing and sampling a multi-channel electroencephalogram signal, carrying out the multi-channel reconstruction through the physiological priori and the related information of adjacent brain regions, extracting the feature parameters of target brain waves, and carrying out the reconstruction of the target brain waves. Based on the parameters, dual-stage transcranial alternating current signals of prior stimulation and post stimulation are output; by introducing an adjacent matrix or a graph Laplacian operator in a compressed sensing acquisition and reconstruction link, high-fidelity recovery of cross-brain region oscillation can be maintained under the conditions of low sampling rate and noise; performing layered screening and dynamic fine tuning on characteristic frequency bands of different brain regions by combining general and individualized prior; the target brain wave phase is locked in advance in the first stimulation stage, and the stimulation intensity of each brain region is independently or cooperatively adjusted in the later stimulation stage, so that the requirement of coupling regulation and control of multiple brain regions is met, and the closed-loop intervention effect on nerve states such as insomnia and anxiety is improved.

The invention discloses a high-altitude falling simulation system based on VR equipment, and relates to the technical field of virtual reality simulation, and the system comprises a data collection module which collects the pupil distance and initial sight line data of a user; the visual disturbance module is used for dynamically adjusting local visual disturbance of a corresponding area in the high-altitude virtual scene based on the gaze data to form a visual disturbance effect; the psychological index calculation module is used for calculating an anxiety index and a focus drift speed by adopting a time sequence convolutional neural network according to the visual disturbance effect and the eye movement behavior of the user to obtain an anxiety index and a focus drift speed index; and the disturbance adjustment module adaptively adjusts the frequency and amplitude of the visual disturbance effect by adopting a method of combining fuzzy logic control and adaptive gain adjustment to obtain disturbance rhythm parameters. According to the method, the personalized matching ability and training effectiveness in psychological behavior intervention and virtual high-altitude adaptation training are improved.

The invention discloses an intelligent interaction method for a patient in a radiotherapy process, computing equipment and a storage medium, and the method comprises the steps: carrying out the natural language interaction between the patient and an interaction agent in the radiotherapy process; collecting multi-modal and multi-dimensional patient real-time feedback data and carrying out preprocessing; performing real-time fine tuning optimization on a plurality of pre-training basic models in the interactive agent according to the collected real-time feedback data; the finely-adjusted and optimized interaction agent generates targeted education content, health suggestions and emotion support according to the real-time feedback data of the patient, and outputs the education content, the health suggestions and the emotion support in a natural language mode; and repeating the steps until the radiotherapy is finished. In the radiotherapy process, the interaction agent capable of interacting with the patient is introduced, real-time dynamic personalized health education, treatment suggestions and emotion support services are provided for the patient, and emotion problems such as anxiety of the patient are relieved.

The invention discloses a sleep aiding method and system based on brain wave data, and the method comprises the steps: synchronously collecting brain waves, electrocardiosignals, environmental noise and user voice data through a flexible electrode array, constructing a multi-mode causal graph, and dynamically recognizing the type of a noise source (electromagnetic interference or psychological noise); the method comprises the following steps of: generating a target antagonistic intervention signal (such as reverse sound wave counteracting electromagnetic noise and binaural rhythm relieving psychological pressure) according to the target antagonistic intervention signal, generating dynamically adaptive light pulse and tactile vibration parameters in combination with a psychological-physiological collaborative model, and synchronously outputting sound, light and tactile intervention signals through a multi-modal actuator. Through causal reasoning and multi-sensory cooperative regulation and control technologies, accurate inhibition of noise interference and personalized induction of the sleep state are realized, the sleep time is remarkably shortened, the deep sleep duration is prolonged, and the method is particularly suitable for complex noise environments and anxiety-related insomnia scenes.

The invention discloses a method and a system for intelligently pushing a live program by a set top box, and relates to the technical field of intelligent pushing. The method comprises the following steps: registering a remote controller input event capturer on an operating system layer to collect and classify user operation events, extracting behavior characteristic data and carrying out standardized preprocessing; a behavior state data set and a situation data set are formed, a remote control behavior anxiety index anx is constructed through the behavior state data set, behavior state evaluation is carried out, the regularity of user operation is evaluated, the influence of the current environment of a user on an operation behavior is analyzed in combination with a situation adaptation matching index cfs, and then an intervention activation comprehensive index sis is calculated. The method is used for judging whether pushing of the pacifying type live program is triggered or not. According to historical statistics, a double intervention threshold is set, a dynamic response type push decision is carried out on the emotional state of the user, identification of potential anxiety behaviors and content intervention control are effectively achieved, and user experience and content adaptability are improved.

The invention relates to the technical field of biological medicines, in particular to Hangzhou white chrysanthemum-derived exosome-like nano-vesicles as well as a preparation method and application thereof. Chrysanthemum morifolium ramat nano-vesicles are prepared from compositae plants through a high-speed centrifugation method, the average particle size of the nano-vesicles is 68 nm, and the Zeta potential is-19.50 + / -1.10 mV. The nano vesicles can effectively protect nerve cells and improve anxiety behaviors and cognitive impairment of SAE mice. The compound has a good application prospect in preparation of medicines for treating neuroinflammation and SAE.

The invention discloses a ward health education robot, and the robot is internally provided with a health education platform, and the health education platform comprises a personalized education module which is responsible for generating a personalized guidance scheme according to the personal information of a patient; the intelligent question and answer module is responsible for intelligently recommending related health knowledge and matters needing attention; the medicine use and treatment nursing management module is responsible for recording the medicine use condition of the patient and generating a schedule about the patient; the intelligent navigation and hospital guide module is responsible for realizing autonomous navigation of the patient from a ward to a designated place; the physical sign monitoring and analyzing module is responsible for collecting vital sign data of a patient and generating a health report and early warning information; according to the system, the emotion recognition and interaction optimization module recognizes the emotional state of the patient and adjusts the communication mode and content according to the emotional state, the anxiety and fear emotion of the patient can be relieved, and the confidence of the patient in fighting the disease is enhanced.

The invention relates to the technical field of data processing and intelligent environment control, in particular to a sleep environment feedback control data processing method based on cognitive behavior therapy logic, which comprises the following steps: a reference model construction step: acquiring a non-contact multi-mode time sequence signal, and reconstructing a reference signal balance curve to construct a target signal manifold model; a simulation flow generation step of converting the preset interference characteristics into signal modulation operators and injecting the signal modulation operators into the model to generate a simulation signal flow; a double-track difference calculation step: executing double-track difference operation to respectively extract residual features representing system deviation and theoretical interference; a similarity judgment and control step: calculating the topological similarity of the residual features in a time-frequency domain, judging a deviation dominant type, generating a corresponding control instruction, and driving an execution mechanism to act; according to the method, psychological anxiety and environmental discomfort are effectively distinguished by using a double-track differential mechanism, and accurate attribution analysis of sleep interference sources is realized.

The invention provides a pet behavior data acquisition and emotion monitoring method and an integrated system. The method comprises the following steps: firstly, collecting heart rate, body temperature, environment temperature and humidity and videos, unifying a time base by matching short-distance wireless timestamp broadcasting with local time service, performing face mask, foreground separation and skeleton key point extraction on the videos by an end side, and only uploading structural features including key point coordinates and foreground area ratios; time lag is obtained through normalized cross-correlation of the skeleton key point speed sequence and the heart rate sequence, phase alignment is completed, and a first feature sequence is obtained; frequency domain analysis is conducted on the tail trajectory, the auricle pitch angle and the first feature are connected in series to form a second feature sequence, the second feature sequence is input into a cross-modal attention sequential network, and continuous coordinates and discrete categories such as relaxation, excitation and anxiety are output in a combined mode; a deviation degree is calculated based on an individualized rhythm baseline, and a graded alarm is output when the threshold is exceeded and the standard is continuously reached, so that pet emotion monitoring which is privacy-friendly, reliable in alignment and explainable is realized.

The embodiment of the invention relates to the technical field of information, in particular to a speech recognition optimization method and system applied to online AI legal consultation. The method comprises the following steps: constructing a legal case library; voice content is recognized in real time, case plots are extracted, and the anxiety degree of a consultant is recognized; obtaining a plurality of prediction similar cases according to the extracted case plots and the identified anxiety degree; reading related legal terms, related subject descriptions and plot descriptions corresponding to all the prediction similar cases, and extracting keywords to obtain a keyword set; according to the plot influence singularity and the judgment trend uncertainty corresponding to all the prediction similar cases, obtaining a fusion singularity; and when the fusion degree exceeds a preset threshold value, matching the recognized words without definite semantics with the keywords in the keyword set again, and taking the keyword with the highest matching degree as a voice recognition result.

The invention relates to the technical field of psychological intervention adjustment, in particular to a dynamic structured self-adaptive training method which is applied to a training framework comprising an acquisition terminal, a processing terminal and an execution terminal. The acquisition terminal is used for acquiring a physiological signal, a behavior signal and an environment context of an individual, the processing terminal fuses the information and calculates an anxiety index and an uncertainty probability value, and when the uncertainty probability value is lower than a preset threshold value, an initial task graph is constructed according to a target task and the environment context. The initial task graph is subjected to structure and parameter updating through a preset rule generator in combination with a reward function and an anxiety index, an individualized task graph is generated, cross-age migration is further carried out based on physiological and behavior signals, an execution graph bound with an execution terminal is obtained, and the execution terminal carries out intervention according to the execution graph. The problem that an existing training method is difficult to give consideration to behavior complexity and psychological bearing capacity is solved, and training individuation and stability are improved.

The combined concave swing seat frame mechanism comprises a base, a seat and a first electric push rod, the seat comprises a sitting and leaning frame and a backrest frame, a sliding frame is arranged on the base, and the left side and the right side of the sliding frame are each provided with at least two first hinge shafts; a swing arm capable of swinging relative to the sliding frame is arranged on each first hinge shaft, the bottom of each swing arm is hinged to the sitting and leaning frame, the sitting and leaning frame is hung on the sliding frame through the swing arms, a swing arm driving assembly is further arranged on the sliding frame, the first electric push rod is hinged to the base, and the output end of the first electric push rod acts on the sliding frame. On the basis of the existing back-and-forth sliding and back rising and falling functions, the electric swing function technology is upgraded and added, the product configuration function is improved, more consumption requirements are met, the foot bath tub is suitable for more types of foot bath tubs and use places, swing in the mode is more stable, the action gives people a hypnotic feeling, people are promoted to have a rest and relax, and the user experience is improved. And anxiety and nervousness can be relieved.

A method, computer-readable media, and system associated with psychiatric and physiologic monitoring of a patient having PTSD or anxiety-related mental health conditions are provided. For example, data associated with a survey or questionnaire that was provided to a patient is received. A score may be determined from the data associated with the survey or questionnaire. A time-series is formed using heart-rate measurements detected by a sensor. Fractal properties, such as a Hurst exponent, may be calculated for the time-series. The score may be contextually matched to a set of reference scores. Further, the contextual matching may be used to determine a range of normative HRV values for determining whether a value associated with the patient is within the range. If the value associated with the patient is not within the range, a notification may be provided.

The invention discloses a gynecological general anesthesia postoperative complication prediction modeling method based on pathological data analysis, and relates to the technical field of postoperative complication prediction, and the method comprises the following steps: collecting preoperative, intraoperative and postoperative multi-dimensional pathological and clinical data of gynecological general anesthesia; establishing a space-time incidence matrix of anxiety psychology, intraoperative pathology and complications; and constructing a gynecological general anesthesia postoperative complication prediction model based on a multi-modal deep learning prediction architecture based on the space-time incidence matrix. Through combination of multi-dimensional data fusion, dynamic correlation analysis and deep learning, transformation from an empirical decision to a data-driven decision is realized. The time-space incidence matrix provides standardized risk assessment logic for doctors; the prediction capability of the model on rare complications fills the prediction blank in a small sample scene. Finally, through real-time risk early warning and individualized intervention suggestions, the safety of the gynecological general anesthesia operation is remarkably improved, the postoperative recovery time of a patient is shortened, and the method has important clinical transformation value.

The invention discloses a cabin mental health adjustment method and device and electronic equipment, and the method comprises the steps: obtaining original data sorted based on a time sequence from multiple dimensions after a vehicle is started; extracting data features of the original data of the multiple dimensions to obtain a data feature vector corresponding to each modal; inputting the data feature vectors into a pre-trained multi-modal time sequence fusion model according to a time sequence to obtain a first recognition result; the first recognition result is used for representing the emotion category and / or emotion intensity of the person in the vehicle; determining at least one target adjustment strategy from an adjustment strategy library based on the first identification result and the attribute information of the person in the vehicle; and adjusting the equipment in the cabin based on the target adjustment strategy. The psychological state of the person in the vehicle can be adjusted in time when negative emotions such as anxiety and fatigue of the driver are found, the driving safety is improved, and the user experience is optimized. According to the invention, user health management is promoted, and vehicle intelligence can be enhanced.

The invention belongs to the technical field of nutritional compositions, and particularly relates to a composition, a preparation method thereof and application of the composition in protecting brain health. The composition provided by the invention is prepared from docosahexaenoic acid, 3-sialic acid lactose and phosphatidylserine. The composition is clear in sleep improvement effect, can effectively solve the problem of sleep maintenance caused by sleep deprivation, has the effects of protecting neural functions, improving memory and relieving anxiety from multiple dimensions, and can repair brain tissue damage and protect brain health. Based on the composition, products for assisting in improving memory, preventing and treating insomnia and anxiety, regulating neurodevelopmental disorders, protecting brain health and improving concentration can be developed, the health requirements of different people are comprehensively met, and the application value is high.

The invention discloses a composition based on the synergistic effect of an SOD-LF covalent conjugate and neuromodulation and application of the composition in preparation of drugs for relieving anxiety and insomnia and improving sleep quality, and belongs to the technical field of biology. The preparation method comprises the following steps: preparing an SOD-LF covalent conjugate from lactoferrin and SOD; uniformly dispersing the SOD-LF covalent conjugate in a sodium alginate solution, spraying into a calcium chloride solution, standing, and filtering to obtain a sodium alginate coated SOD-LF covalent conjugate; and dispersing the sodium alginate coated SOD-LF covalent conjugate and fucoidin in a chitosan solution, adding sodium tripolyphosphate, stirring for reaction, and centrifugally collecting to obtain the composition based on the synergistic effect of the SOD-LF covalent conjugate and nerve regulation. According to the composition disclosed by the invention, the blood brain barrier transmittance is enhanced through the SOD-LF covalent conjugate, and the fucoidin is combined to regulate the intestinal flora-enteric brain axis to synergistically inhibit neuroinflammation and oxidative stress, so that anxiety and insomnia are improved.

The invention discloses a wart excision device which combines wart excision and medicine spraying functions, can immediately perform medicine treatment after wart excision, effectively promotes wound healing, reduces infection risk, reduces the possibility of wart recurrence, and improves thoroughness and durability of treatment. And secondly, the operation design of the device is extremely humanized, and the patient can operate the device at home without going to a hospital or a professional medical institution, so that the time and economic cost are greatly saved, and meanwhile, the psychological burden and anxiety mood of the patient caused by seeing a doctor are also relieved. The design of the adjustable blade assembly and the straight blade is adopted by the device, the cutting mode can be flexibly adjusted according to the shape and size of warts, accurate excision is achieved, damage to surrounding normal skin is reduced to the maximum extent, and therefore the pain feeling is reduced, and the size of wounds is reduced. In addition, the medicine applying assembly of the device can accurately spray medicine to the wound surface, pain is further relieved, and rapid healing of the wound is promoted.

The invention provides AR glasses supporting emotion monitoring, and relates to the technical field of augmented reality, the AR glasses supporting emotion monitoring comprise a glasses body, a two-way eye camera, an emotion recognition module and an image processing unit, and the image processing unit comprises an emotion recognition algorithm and an image processing unit. The emotion recognition accuracy is 95.8% (angry) and 92.3% (anxiety), and compared with a traditional single-mode scheme (only facial expression), the emotion recognition accuracy is improved by 22% (angry) and 41% (anxiety). The blink frequency detection precision reaches + / -0.5 Hz through dynamic frame rate adjustment of the two cameras, and the feature point detection rate in a rapid blink scene is 98% (only 85% of a traditional monocular). By combining HRV physiological features extracted by PPG signals, the system can recognize the coupling relation between pupil diameter changes and blinking frequency, and physiological blinking and emotional blinking are successfully distinguished.

The invention relates to the technical field of nerve regulation and control, and discloses a brain wave frequency modulation instrument which comprises a wearing shell and two groups of brain wave frequency modulation optimization modules which are integrally mounted at two ends of the wearing shell and are configured to acquire brain wave signals of a user in real time, according to the brain wave frequency modulation instrument, the defect of single-frequency static stimulation of traditional equipment is overcome, personalized brain wave regulation and control are achieved through the AI algorithm, and the brain wave frequency modulation instrument has the advantages that the brain wave frequency modulation instrument is simple in structure, convenient to use and high in practicability. Frequency conversion guide field signals can be dynamically matched with the brain wave state of a user, and the central control module can adaptively regulate and control multi-module combination. According to the equipment, brain wave optimization, purification and energizing are synchronously carried out, a closed-loop feedback system improves regulation and control accuracy, the wearable design is portable and easy to use, brain wave disorder can be accurately improved, anxiety and fatigue can be relieved, and multi-directional guarantee is provided for physical and psychological health.

A Peripheral Nerve Stimulation (PNS) system and method are disclosed. The system includes a headset with ear hooks and electrodes for placement on the mastoid processes. A stimulation device connected to the headset via lead wires delivers a pulsed electrical current to the electrodes. The device communicates with a computing device equipped with a mobile application that controls the stimulation characteristics. The mobile application allows users to adjust settings, monitor progress, and access treatment sessions. The system also includes snap ports for electrode attachment, self-adhesive hydrogel electrodes, and current control mechanisms using a digital potentiometer and waveform generator. The method includes pre- and post-session anxiety rating, personalized treatment based on user inputs, and tracking of physiological biomarkers. The application supports multiple operating systems, secure cloud data storage, and enables data sharing with healthcare providers. The invention provides a comprehensive, customizable, safe solution for managing anxiety and insomnia.

Compositions comprising mesembryanol, such as (-) mesembryanol or (-) 6-epi-mesembryanol, are disclosed. The disclosed compositions can be used in methods of inhibiting SERT. Also provided are methods of treatment against anxiety or depression, including methods comprising orally administering to a subject in need thereof a therapeutically effective amount of certain pharmaceutical compositions.

1. The name of the design product: pacifier (ear type). 2. The use of the design product: to help babies relieve anxiety and meet the needs of sucking. 3. The design points of the design product: in the shape of the product structure. 4. The picture or photo that best indicates the design points: perspective drawing.

The present invention belongs to the field of medicinal chemistry, and specifically relates to coumarin-chalcone hybrid derivatives as phosphodiesterase 2 inhibitors and their applications. The present invention expands hybrid derivatives based on the structures of coumarin and chalcone, provides novel small molecule compounds that are inhibitors of PDE2, and the obtained compounds have good PDE2 inhibitory activity. These compounds have the potential to treat central nervous system diseases such as memory defects, cognitive impairments, anxiety, and depression, and can be used as active ingredients to prepare drugs that inhibit the activity of PDE2. Moreover, the preparation is easy, the reaction is rapid, the yield is high, the post-treatment is simple, and the solid acid catalyst left after post-treatment filtration can still be recycled, greatly reducing the reaction time and experimental cost.

The invention relates to the technical field of traditional Chinese medicine compositions, in particular to a traditional Chinese medicine composition and application of the traditional Chinese medicine composition in preparation of drugs for improving sleep disorder and treating mood disorder or cognitive disorder. The invention provides a traditional Chinese medicine composition. The traditional Chinese medicine composition comprises the following components in parts by mass: 20-30 parts of lycium ruthenicum, 30-40 parts of nitraria fruit, 15-25 parts of gastrodia elata, 13-25 parts of hyperforin perforatum and 2-6 parts of lycopene. The traditional Chinese medicine composition provided by the invention is prepared from lycium ruthenicum, nitraria fruit, gastrodia elata, hyperforin perforatum and lycopene according to a specific ratio, and the composition can effectively relieve anxiety behaviors of chronic stress bound anxiety model mice through ways of resisting oxidation and inflammation, regulating expression of neurotransmitters and the like, prolong sleep time and improve sleep quality. The learning ability and the memory ability of cognitive impairment mice induced by scopolamine are improved, and the neuron density of brain tissues is increased, so that the neuroprotective effect is achieved.

The invention belongs to the field of traditional Chinese medicines, and provides application of a valerian extract in preparation of a medicine for preventing and treating climacteric syndrome. Pharmacological experiments show that the valerian extract has a regulation effect on a hypothalamic-pituitary-neuroendocrine system, and has important significance in regulating postmenopausal endocrine conditions of middle-aged and old women and improving anxiety, insomnia, dysphoria and other climacteric symptoms related to FSH (follicle stimulating hormone) and LH (luteinizing hormone). In addition, the valerian extract has a good regulation effect on secretion of related sex hormones and hypothalamus neurotransmitters of climacteric rats, and has a certain correction effect on the central monoamine neurotransmitter disorder state of the climacteric rats. The traditional Chinese medicine composition can improve clinical symptoms of climacteric syndrome.

The invention discloses a lactobacillus delbrueckii subsp. Bulgaricus CCFM1520 for transforming curcumin to produce tetrahydrocurcumin to relieve nervous anxiety, and belongs to the technical field of microorganisms. The lactobacillus delbrueckii subsp. Bulgaricus CCFM1520 screened by the invention has the capability of converting curcumin, and can utilize curcumin and generate tetrahydrocurcumin. The invention further provides a synbiotic preparation prepared from the lactobacillus gasseri CCFM1481 and curcumin, the synbiotic preparation can be used as an anti-fatigue functional medicine, the individual behavioral memory level can be improved, the imbalance of body neurotransmitters (DA, 5-HT and NE) can be slowed down, the expression of body neuroprotection related genes (BDNF, TrkB, DRD1 and TH) can be improved, and the synbiotic preparation has a huge application prospect.

The utility model discloses a pediatric nursing sputum aspiration auxiliary device, including inlet portion, flaring portion and silicone rubber layer, the inside of the inlet portion is through and is square tube structure, the inside of the flaring portion is through and is round tube structure, the inlet portion and the flaring portion are mutually connected and through, the silicone rubber layer is sleeved on the inlet portion. The tongue of a child is pressed through the inlet part according with the ergonomic design, displacement is not prone to occurring, the inlet part is sleeved with the silicon rubber layer, a child patient can conduct oral cavity operation such as chewing and biting, and therefore anxiety and impatience caused by the fact that the oral cavity of the child patient cannot move are avoided; therefore, the emotion of the child patient can be well relieved, the comfort of the child patient is effectively improved, a medical worker can insert a sputum suction pipe into the oral cavity to suck sputum after the sputum suction pipe sequentially penetrates through the flaring part and the inlet part, and reliability is high.